Automatic identification of tissue interfaces

A method for automatic identification of tissue interfaces from medical images has been developed and tested. The spatial gradient vector is constructed and expressed as a function G( nu ) of tissue density. The relative maxima of G identify ranges of gray levels corresponding to tissue interfaces. These density ranges are then assigned full opacity and shaded. Examples of CT (computed tomography) and MR (magnetic resonance) scans demonstrate that the resulting visualization maintains all the advantages of the volume-rendering technique while eliminating the task of tissue classification.<
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